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    We developed a new algorithm for X-ray Fokker-Planck computed tomography. This method maps sample density and diffusion properties in 3D, enhancing spatial resolution for biomedical and industrial imaging.

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    Area of Science:

    • Medical Imaging
    • Materials Science
    • Physics

    Background:

    • X-ray diffusive dark-field imaging is a valuable tool for mapping sample microstructures.
    • Existing methods have limitations in spatial resolution and data requirements.

    Purpose of the Study:

    • To present a novel algorithm for phase and dark-field computed tomography.
    • To improve spatial resolution in 3D imaging using dark-field information.

    Main Methods:

    • Developed a propagation-based algorithm utilizing the x-ray Fokker-Planck equation.
    • Requires only a coherent x-ray source, sample, and detector.
    • Two sample exposures per projection angle are sufficient.

    Main Results:

    • Successfully mapped sample density and dark-field/diffusion properties in 3D.
    • Achieved higher spatial resolution compared to previous propagation-based methods.
    • Reconstructed both sample density and dark-field Fokker-Planck diffusion coefficients.

    Conclusions:

    • The proposed algorithm offers enhanced 3D imaging capabilities.
    • Potential benefits for biomedical imaging and industrial applications.
    • Advances dark-field computed tomography with improved resolution and efficiency.